|
|
|
|
| LEADER |
03382nam a22004455i 4500 |
| 001 |
978-81-322-2325-2 |
| 003 |
DE-He213 |
| 005 |
20160830142046.0 |
| 007 |
cr nn 008mamaa |
| 008 |
150422s2015 ii | s |||| 0|eng d |
| 020 |
|
|
|a 9788132223252
|9 978-81-322-2325-2
|
| 024 |
7 |
|
|a 10.1007/978-81-322-2325-2
|2 doi
|
| 040 |
|
|
|d GrThAP
|
| 050 |
|
4 |
|a QA276-280
|
| 072 |
|
7 |
|a PBT
|2 bicssc
|
| 072 |
|
7 |
|a MAT029000
|2 bisacsh
|
| 082 |
0 |
4 |
|a 519.5
|2 23
|
| 100 |
1 |
|
|a Muralidharan, K.
|e author.
|
| 245 |
1 |
0 |
|a Six Sigma for Organizational Excellence
|h [electronic resource] :
|b A Statistical Approach /
|c by K. Muralidharan.
|
| 264 |
|
1 |
|a New Delhi :
|b Springer India :
|b Imprint: Springer,
|c 2015.
|
| 300 |
|
|
|a XXIV, 622 p. 141 illus.
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|b PDF
|2 rda
|
| 505 |
0 |
|
|a Chapter 1. Six Sigma Concepts.- Chapter 2. Six Sigma Project Management.-Chapter 3. Six Sigma Process.- Chapter 4. Understanding Variation.- Chapter 5. Sigma Estimation.- Chapter 6. Sample Size Determination.- Chapter 7. Define Phase.- Chapter 8. Measure Phase.- Chapter 9. Analyze Phase -- Chapter 10. Improve Phase.- Chapter 11. Control Phase.- Chapter 12. Sigma Level Estimation.- Chapter 13. Continuous Improvement.- Chapter 14. Six Sigma Marketing.- Chapter 15. Green Six Sigma -- Chapter 16. Six Sigma: Some Pros and Cons -- Chapter 17. Six Sigma: Some case studies.
|
| 520 |
|
|
|a This book discusses the integrated concepts of statistical quality engineering and management tools. It will help readers to understand and apply the concepts of quality through project management and technical analysis, using statistical methods. Prepared in a ready-to-use form, the text will equip practitioners to implement the Six Sigma principles in projects. The concepts discussed are all critically assessed and explained, allowing them to be practically applied in managerial decision-making, and in each chapter, the objectives and connections to the rest of the work are clearly illustrated. To aid in understanding, the book includes a wealth of tables, graphs, descriptions and checklists, as well as charts and plots, worked-out examples and exercises. Perhaps the most unique feature of the book is its approach, using statistical tools, to explain the science behind Six Sigma project management and integrated in engineering concepts. The material on quality engineering and statistical management tools offers valuable support for undergraduate, postgraduate and research students. The book can also serve as a concise guide for Six Sigma professionals, Green Belt, Black Belt and Master Black Belt trainers.
|
| 650 |
|
0 |
|a Statistics.
|
| 650 |
|
0 |
|a Project management.
|
| 650 |
1 |
4 |
|a Statistics.
|
| 650 |
2 |
4 |
|a Statistical Theory and Methods.
|
| 650 |
2 |
4 |
|a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
|
| 650 |
2 |
4 |
|a Statistics for Business/Economics/Mathematical Finance/Insurance.
|
| 650 |
2 |
4 |
|a Project Management.
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9788132223245
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-81-322-2325-2
|z Full Text via HEAL-Link
|
| 912 |
|
|
|a ZDB-2-SMA
|
| 950 |
|
|
|a Mathematics and Statistics (Springer-11649)
|
